Optimization of Crude Oil Preheating Process Using Evolutionary Algorithms

Autor:	Dimbalita Deka, Dilip Datta
Rok vydání:	2021
Předmět:	Schedule Fouling business.industry Heat exchanger Oil refinery Scheduling (production processes) Evolutionary algorithm Environmental science Process engineering business Multi-objective optimization Energy (signal processing)
Zdroj:	Modeling, Simulation and Optimization ISBN: 9789811598289 CoMSO
DOI:	10.1007/978-981-15-9829-6_10
Popis:	The crude preheating in refineries, performed in a crude preheat train (CPT), is a very energy consuming operation. The fouling formed in the heat exchangers of the CPT affects the preheating of the crude, thus not only requires additional energy but also involves cleaning of the fouling. Hence, it becomes essential to schedule the CPT in a way to minimize the involved energy and cleaning costs. Such a model, formed with a real dataset, is solved here by three mixed-binary evolutionary algorithms. Multi-objective optimization is also performed to investigate the conflicting nature of the energy and cleaning costs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::21e130d8b9f2c0584aa4a53ee7d63648 https://doi.org/10.1007/978-981-15-9829-6_10 Zobrazit plný text záznamu